Foyzul Hassan, Ph.D.

Assistant Professor, Computer and Information Science
Foyzul Hassan
College of Engineering and Computer Science
Computer and Information Science
DAIR
[email protected]
313-436-9145
234 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128
CIS565, Wednesday and Thursday, 4:00 PM to 5:30 P.M CIS 376, Tuesday and Thursday, 2:00 pm – 4:00 pm
https://foyzulhassan.github.io/
Michigan Expert (MExpert) Profile

Teaching Areas:

Computer and Information Science, Software Engineering

Research Areas:

Machine Learning, Optimization, and Intelligent Systems, Software Engineering

Biography and Education

Education

  • Ph.D., University of Texas at San Antonio
  • M.Sc., United International University
  • B.S., Military Institute of Science and Technology

Teaching and Research

Courses Taught

Selected Publications

  1. Dhia Elhaq Rzig, Foyzul Hassan and Marouane Kessentini, An Empirical Study on ML DevOps Adoption Trends, Efforts, and Benefits Analysis, Information and Software
    Technology (IST), 2022.
  2. Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal and Nachiappan Nagappan, Characterizing the usage of CI tools in ML projects, Accepted in 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement(ESEM), 2022.
  3. Xue Qin and Foyzul Hassan, DyTRec: A Dynamic Testing Recommendation tool for Virtual Reality Software, First International Workshop on Virtual and Augmented Reality Software Engineering, co-located with the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022.
  4. Emna Ksontini, Marouane Kessentini, Thiago do Nascimento Ferreira, Foyzul Hassan, Refactorings and Technical Debt in Docker Projects: An Empirical Study, International Conference on Automated Software Engineering (ASE), 2021.
  5. Fariha Nusrat, Foyzul Hassan, Hao Zhong, Xiaoyin Wang, How Developers Optimize Virtual Reality Applications: A Study of Optimization Commits in Open Source Unity Projects, Proceedings of the 43rd International Conference on Software Engineering (ICSE 2021).
  6. Lingchao Chen, Foyzul Hassan, Xiaoyin Wang, Lingming Zhang, Taming Behavioral Backward Incompatibilities via Cross-Project Testing and Analysis, Proceedings of the 42nd International Conference on Software Engineering (ICSE 2020).
  7. Foyzul Hassan. Tackling Build Failures in Continuous Integration. Accepted in International Conference on Automated Software Engineering (ASE 2019), Doctoral Symposium.
  8. Foyzul Hassan, Rodney Rodriguez, Xiaoyin Wang. RUDSEA: recommending updates of Dockerfiles via software environment analysis [New Idea Paper]. Proceedings of the 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2018), Pages 796-801.
  9. Foyzul Hassan, Xiaoyin Wang. HireBuild: an automatic approach to history-driven repair of build scripts. Proceedings of the 40th International Conference on Software Engineering (ICSE 2018), Pages 1078-1089.
  10. Foyzul Hassan, Shaikh Mostafa, Edmund SL Lam, Xiaoyin Wang. Automatic building of java projects in software repositories: A study on feasibility and challenges. Proceedings of the 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2017), Pages 38-47.
  11. Foyzul Hassan, Xiaoyin Wang. Change-aware build prediction model for stall avoidance in continuous integration [Short Paper]. Proceedings of the 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2017), Pages 157-162.
  12. Foyzul Hassan, Xiaoyin Wang, Mining readme files to support automatic building of java projects in software repositories [Poster Track]. Proceedings of the 39th International Conference on Software Engineering Companion (ICSE 2017), Pages 277-279.
  13. Foyzul Hassan, Mohammed Rokibul Alam Kotwal, Mohammad Nurul Huda. Bangla Phonetic Feature Table Construction for Automatic Speech Recognition. Proceedings of 16th Int’l Conf. Computer and Information Technology(ICCIT 2013), Pages 51-55.
  14. Foyzul Hassan, Mohammed Rokibul Alam Kotwal, Mohammad Nurul Huda. MLN-based Bangla ASR using context sensitive triphone HMM. International Journal of Speech Technology(2011), Pages 183-191.
  15. Foyzul Hassan, Mohammed Rokibul Alam Kotwal, Mohammad Mahedi Hasan, Ghulam Muhammad, Mohammad Nurul Huda. Inhibition/Enhancement Network Based ASR using Multiple DPF Extractors. Journal of Multimedia(2011), Pages 395-403.

Awards and Recognition

  • 2019  NSF Travel Award for ASE, NSF
  • 2019  UTSA CS Outstanding Achievement Award for Research, UTSA
  • 2018 NSF Travel Award for ICSE, NSF
  • 2018  Graduate Student Professional Development Award, UTSA
  • 2017  ESEM Travel Grant, UTSA
  • 2017  Alvarez Grad Fellowship, UTSA
  • 2015  Full Tuition Award, UTSA
  • 2012  Summa Cum Laude, UIU
  • 2011  MSCSE Merit Award, UIU